Marc Schulder

Marc Schulder

Research Associate in Computational Linguistics

Institute for German Sign Language, Hamburg University

About me

I am a researcher in computational linguistics. After submitting my dissertation on the bootstrapped creation of lexica for sentiment polarity shifters in early 2019, I have now moved into the field of sign language research. As part of the DGS-Korpus project I develop computational methods for the analysis, automatic classification and assisted annotation of German Sign Language (DGS). I am also involved in work on data infrastructure for the project, such as updated releases of the DGS corpus, public documentation, and implementation of the FAIR principles.

Previously I have worked on sentiment analysis, metaphor recognition, and context integration in speech recognition.

I am also the developer of BibTexNanny, a tool that helps you keep your BibTeX bibliography clean and consistent, as well as create streamlined versions of it for individual documents.

Interests
  • Sign Language Linguistics
  • Natural Language Processing
  • Open Science
Education
  • PhD in Computational Linguistics, 2019

  • MSc in Language Science and Technology, 2013

  • BSc in Computational Linguistics, 2011

Recent Publica­tions

(2022). Specification for the Harmonization of Sign Language Annotations. EASIER Deliverable D6.2.

PDF Cite Project DOI

(2021). HamNoSys in TeX. Project Note AP06-2021-02.

PDF Cite Code Project DOI

(2021). Data Statement for the Public DGS Corpus (v2). Project Note AP06-2020-01.

PDF Cite Dataset Project DOI

(2021). Overview of Datasets for the Sign Languages of Europe. EASIER Deliverable D6.1.

PDF Cite Project DOI

(2021). Automatic Generation of Lexica for Sentiment Polarity Shifters. In Journal of NLE.

PDF Cite Dataset Project DOI

CV

 
 
 
 
 
Research Associate
March 2019 – Present Hamburg, Germany
 
 
 
 
 
Doctoral Studies in Computational Linguistics
November 2013 – August 2019 Saarbrücken, Germany
 
 
 
 
 

Contact

Marc Schulder